Pinned Repositories
Capio-EDA-Modeling
EDA and Modeling
Data_Cleaning
Proper data cleaning in crucial, it can make or break your project. Data scientist spend a majority of their time in this step
Efficient-Revenue-Recovery
Can we use machine learning to segment and rank accounts by likelihood of payment using historical accounts?
Eploratory_Data_Analysis
Businesses often dismiss the power of Exploratory Data Analysis (EDA) - Machine learning is great but often times, EDA will suffice in providing new insight on structured data.
Healthcare-Financial-Modeling-
House-Price-EDA
Exploratory data analysis (EDA) is one of the most important components to any data science experiment. It's "a first look" at our dataset and is used to understand and summarize the content of our dataset by selecting the features in which we later feed into our machine learning algorithms.
Hypothesis-Testing-Discounts
profile-dashboard
internal profile dashboard
SarcasmDetectionUsingNewsHeadlines
Using RNN to Detect Sarcasm from News Headlines
sentence-classifier
classify sentence type from emails
MyNameisBram's Repositories
MyNameisBram/Healthcare-Financial-Modeling-
MyNameisBram/dsc-04-40-02-introduction-to-neural-networks-online-ds-ft-021119
MyNameisBram/dsc-04-40-04-deeper-neural-networks-online-ds-ft-021119
MyNameisBram/dsc-04-40-05-deeper-neural-networks-lab-online-ds-ft-021119
MyNameisBram/dsc-04-41-02-deep-networks-online-ds-ft-021119
MyNameisBram/dsc-04-41-03-deep-networks-lab-building-an-image-classifier-online-ds-ft-021119
MyNameisBram/dsc-04-41-04-introduction-to-keras-online-ds-ft-021119
MyNameisBram/dsc-04-41-05-keras-lab-online-ds-ft-021119
MyNameisBram/dsc-04-42-02-tuning-neural-networks-with-regularization-online-ds-ft-021119
MyNameisBram/dsc-04-42-04-normalization-and-parameter-tuning-of-neural-networks-online-ds-ft-021119
MyNameisBram/dsc-04-42-05-normalization-and-tuning-neural-networks-lab-online-ds-ft-021119
MyNameisBram/dsc-04-42-06-tuning-and-optimizing-neural-networks-lab-online-ds-ft-021119
MyNameisBram/dsc-04-43-02-convolutional-neural-networks-online-ds-ft-021119
MyNameisBram/dsc-04-43-03-convolutional-neural-networks-code-along-online-ds-ft-021119
MyNameisBram/dsc-04-43-05-visualizing-intermediate-activations-online-ds-ft-021119
MyNameisBram/dsc-04-44-02-using-pretrained-networks-online-ds-ft-021119
MyNameisBram/dsc-4-37-06-corpus-statistics-lab-online-ds-ft-021119
MyNameisBram/dsc-4-38-05-installing-configuring-spark-with-docker-online-ds-ft-021119
MyNameisBram/dsc-4-38-06-understanding-sparkcontext-online-ds-ft-021119
MyNameisBram/dsc-4-38-07-resilient-distributed-datasets-rdds-online-ds-ft-021119
MyNameisBram/dsc-4-38-08-rdd-transformations-and-actions-lab-online-ds-ft-021119
MyNameisBram/dsc-4-38-09-rdd-transformations-and-actions-ii-online-ds-ft-021119
MyNameisBram/dsc-4-38-10-rdd-advance-operations-lab-online-ds-ft-021119
MyNameisBram/dsc-4-38-11-word-count-with-map-reduce-lab-online-ds-ft-021119
MyNameisBram/dsc-4-39-02-intro-to-recommendation-systems-online-ds-ft-021119
MyNameisBram/dsc-4-39-03-collaborative-filtering-singular-value-decomposition-online-ds-ft-021119
MyNameisBram/dsc-4-39-04-singular-value-decomposition-numpy-scipy-lab-online-ds-ft-021119
MyNameisBram/dsc-4-39-05-matrix-factorization-als-online-ds-ft-021119
MyNameisBram/dsc-4-39-06-building-recommendation-system-als-pyspark-online-ds-ft-021119
MyNameisBram/dsc-4-44-05-section-recap-online-ds-ft-021119